[英]How to plot a caret train object in a function
I want to write e function that trains a regression model using the train
function of the caret package
and plots the resampling profile. 我想编写一个e函数,该函数使用
caret package
的train
函数来train
回归模型并绘制重采样配置文件。 My problem is that no plot is shown and no error is thrown. 我的问题是没有显示任何图并且没有引发任何错误。 This should be a reproducible example:
这是一个可重现的示例:
trFun <- function(){
library( caret )
library( mlbench )
data( BostonHousing )
lmFit <- train(
medv ~ .,
data=BostonHousing,
method="pls"
)
#trellis.par.set( caretTheme() )
plot( lmFit )
lmFit
}
fit <- trFun()
plot( fit )
So plot( lmfit )
inside trFun
doesn't plot anything, while plot( fit )
outside the function does the plot. 所以,
plot( lmfit )
内trFun
没有什么阴谋,而plot( fit )
外的函数做的情节。 The trellis.par.set( caretTheme() )
statement seems to be irrelevant. trellis.par.set( caretTheme() )
语句似乎无关紧要。
My question is: how can I plot the resampling profile inside trFun
? 我的问题是:如何在
trFun
绘制重采样配置文件?
This is the sessionInfo()
output: 这是
sessionInfo()
输出:
R version 3.4.3 (2017-11-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Matrix products: default
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.4.3 tools_3.4.3 yaml_2.1.16
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